title: Fast detection of peroxidase (POD) activity in tomato leaves which infected with Botrytis cinerea using hyperspectral imaging.
abstract: Tomatoes are cultivated around the world and gray mold is one of its most prominent and destructive diseases. An early disease detection method can decrease losses caused by plant diseases and prevent the spread of diseases. The activity of peroxidase (POD) is very important indicator of disease stress for plants. The objective of this study is to examine the possibility of fast detection of POD activity in tomato leaves which infected with Botrytis cinerea using hyperspectral imaging data. Five pre-treatment methods were investigated. Genetic algorithm-partial least squares (GA-PLS) was applied to select optimal wavelengths. A new fast learning neural algorithm named extreme learning machine (ELM) was employed as multivariate analytical tool in this study. 21 optimal wavelengths were selected by GA-PLS and used as inputs of three calibration models. The optimal prediction result was achieved by ELM model with selected wavelengths, and the r and RMSEP in validation were 0.8647 and 465.9880 respectively. The results indicated that hyperspectral imaging could be considered as a valuable tool for POD activity prediction. The selected wavelengths could be potential resources for instrument development.
authors.affiliation: College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
authors.forename: Wenwen
authors.initials: W
authors.lastname: Kong
authors.forename: Fei
authors.initials: F
authors.lastname: Liu
authors.forename: Chu
authors.initials: C
authors.lastname: Zhang
authors.forename: Yidan
authors.initials: Y
authors.lastname: Bao
authors.forename: Jiajia
authors.initials: J
authors.lastname: Yu
authors.forename: Yong
authors.initials: Y
authors.lastname: He
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D020171:Botrytis / Q000302:isolation & purification*; D057075:Enzyme Assays / Q000295:instrumentation; D004867:Equipment Design; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation; D018551:Solanum lycopersicum / Q000201:enzymology* / Q000382:microbiology*; D010544:Peroxidases / Q000378:metabolism*; D010935:Plant Diseases / Q000382:microbiology; D018515:Plant Leaves / Q000201:enzymology / Q000382:microbiology; D013057:Spectrum Analysis / Q000295:instrumentation
chemical_list: D010544:Peroxidases
keywords: Extreme learning machine; Gray mold; Hyperspectral imaging; Peroxidase; Tomato